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arxiv: 2605.18503 · v1 · pith:SYJH5X4Znew · submitted 2026-05-18 · 💻 cs.NI

Collaborative Air-Ground Sensing, Communication, Computing, Storage, and Intelligence for Low-Altitude Economy

Yiqin Deng , Junhui Gao , Zihan Fang , Yanan Ma , Xianhao Chen , Yuguang Fang This is my paper

Pith reviewed 2026-05-20 08:18 UTC · model grok-4.3

classification 💻 cs.NI
keywords low-altitude economyair-ground collaborationSCCSI orchestrationmission-centric designresource coordinationcyber-physical systems
0
0 comments X

The pith

Low-altitude economy missions require air-ground collaboration across sensing, communication, computing, storage, and intelligence.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper establishes that low-altitude economy applications are mission-centric and impose stringent safety and compliance constraints that communication-centric designs alone cannot meet. This makes coordinated air-ground infrastructure indispensable for fulfilling such missions through integrated orchestration of resources. A sympathetic reader would care because the work provides a framework that links application scenarios to resource coupling, architecture, and optimization toolboxes for handling mobility and uncertainty in real deployments. The authors review enabling technologies while stressing end-to-end tradeoffs and illustrate the approach with use cases and open challenges.

Core claim

Low-altitude economy transforms low-altitude airspace into new cyber-physical infrastructure. LAE is mission-centric with diverse requirements such as stringent safety and compliance constraints that cannot be effectively addressed with a communication-centric design alone. Air-ground collaboration is therefore indispensable, and only through effectively coordinating air-ground infrastructure and resources can LAE missions be fulfilled. This calls for task-driven, closed-loop, multi-resource orchestration of Sensing, Communication, Computing, Storage, and Intelligence where key decisions must be co-designed under mobility and uncertainty. The paper presents a framework connecting LAE to a

What carries the argument

Air-ground collaborative architecture that supports task-driven co-optimization of SCCSI resources through a requirement-resource coupling matrix and online decision-making toolboxes.

If this is right

  • LAE missions are fulfilled only when air-ground infrastructure and resources are coordinated effectively.
  • Task-driven closed-loop orchestration of SCCSI resources is required to handle mobility and uncertainty.
  • Enabling technologies must be evaluated with explicit attention to their coupling and end-to-end tradeoffs.
  • Practical designs for use cases emerge by translating requirements into optimization through the proposed framework.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Regulatory bodies for low-altitude airspace may need new standards that explicitly require multi-resource coordination rather than communication performance alone.
  • The same coupling-matrix approach could be tested in adjacent domains such as maritime or space operations with similar safety constraints.
  • Online decision algorithms developed here could be adapted to improve resilience in other mobile cyber-physical systems facing uncertainty.

Load-bearing premise

That communication-centric designs alone are insufficient to address the safety and compliance constraints of LAE missions, making air-ground coordination necessary.

What would settle it

A demonstration that a purely communication-based system can complete a representative LAE mission, such as drone delivery or inspection, while satisfying all safety regulations and compliance rules without any air-ground resource coordination.

Figures

Figures reproduced from arXiv: 2605.18503 by Junhui Gao, Xianhao Chen, Yanan Ma, Yiqin Deng, Yuguang Fang, Zihan Fang.

Figure 1
Figure 1. Figure 1: A motivating example of a mission-driven LAE task: high-precision UAV navigation in GNSS-denied urban canyons via air– [PITH_FULL_IMAGE:figures/full_fig_p002_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Scenario illustration of collaborative air-ground sensing, communication, computing, storage, and intelligence in the low [PITH_FULL_IMAGE:figures/full_fig_p008_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Air-Ground Sensing Coordination: Simultaneous Localization and Mapping [PITH_FULL_IMAGE:figures/full_fig_p010_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Air-Ground Communication Coordination: Coverage & Security [PITH_FULL_IMAGE:figures/full_fig_p011_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Air-Ground Computing Coordination: multi-access edge computing continuum [PITH_FULL_IMAGE:figures/full_fig_p012_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Air-Ground Storage Coordination: edge caching [PITH_FULL_IMAGE:figures/full_fig_p012_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Air-Ground Intelligence Coordination: AirComp-based Federated Learning [PITH_FULL_IMAGE:figures/full_fig_p013_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: A multi-layered taxonomy of enabling technologies for the AG-SCCSI framework, illustrating the synergistic evolution from [PITH_FULL_IMAGE:figures/full_fig_p014_8.png] view at source ↗
read the original abstract

Low-altitude economy (LAE) is transforming low-altitude airspace into a new cyber-physical infrastructure. Although air-ground communications have been widely studied, LAE is fundamentally different in the sense that it is mission-centric with diverse requirements, such as stringent safety and compliance constraints not be effectively addressed with a communication-centric design alone, which makes air-ground collaboration indispensable: Only through effectively coordinating air-ground infrastructure and resources can LAE missions be fulfilled. Consequently, LAE calls for task-driven, closed-loop, multi-resource orchestration of Sensing, Communication, Computing, Storage, and Intelligence (SCCSI), where key decisions must be co-designed under mobility and uncertainty. In this paper, we first present a novel framework that connects (i) LAE scenarios and a requirement--resource coupling matrix, (ii) an air--ground collaborative architecture, and (iii) methodological toolboxes for SCCSI co-optimization and online decision-making. We then systematically review enabling technologies for collaborative SCCSI resources and capabilities, emphasizing their coupling and end-to-end tradeoffs. Finally, we summarize testbeds, datasets, and evaluation metrics, and provide representative use cases to illustrate how the proposed framework translates application requirements into practical task-driven optimization designs, together with open challenges and a roadmap toward scalable and trustworthy LAE deployment.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 0 minor

Summary. The manuscript introduces a framework for collaborative air-ground Sensing, Communication, Computing, Storage, and Intelligence (SCCSI) tailored to the Low-Altitude Economy (LAE). It posits that LAE's mission-centric requirements, including stringent safety and compliance constraints, cannot be met by communication-centric designs alone, thus requiring integrated air-ground resource orchestration. The framework encompasses LAE scenarios linked via a requirement-resource coupling matrix, a collaborative architecture, methodological toolboxes for co-optimization and decision-making under mobility and uncertainty, a review of enabling technologies with emphasis on couplings and tradeoffs, and illustrative use cases along with testbeds, datasets, metrics, open challenges, and a deployment roadmap.

Significance. If the proposed framework holds, it offers a structured way to approach multi-resource integration in emerging LAE applications, potentially facilitating better handling of diverse mission requirements through closed-loop orchestration. The review of technologies and use-case illustrations provide a foundation for researchers to build upon, highlighting end-to-end tradeoffs. This synthesis could be significant for advancing beyond siloed studies in communications, sensing, and computing for aerial systems.

major comments (1)
  1. Abstract and introduction: The central claim that communication-centric designs alone cannot address LAE safety and compliance constraints (making air-ground SCCSI orchestration indispensable) is asserted qualitatively but without concrete references to prior studies, failure cases, or specific technical limitations of existing communication-only approaches; this weakens the motivation for the proposed framework.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the positive evaluation and recommendation of minor revision. We address the single major comment below and will revise the manuscript accordingly.

read point-by-point responses

  1. Referee: Abstract and introduction: The central claim that communication-centric designs alone cannot address LAE safety and compliance constraints (making air-ground SCCSI orchestration indispensable) is asserted qualitatively but without concrete references to prior studies, failure cases, or specific technical limitations of existing communication-only approaches; this weakens the motivation for the proposed framework.

    Authors: We agree that the motivation would be strengthened by explicit supporting references and examples. While the claim reflects established challenges in the LAE literature, we will revise the introduction to incorporate concrete citations to prior studies. These will include works documenting latency-induced safety incidents in UAV operations and regulatory analyses showing compliance shortfalls when only communication resources are considered. The revisions will be added without changing the overall framework or claims. revision: yes

Circularity Check

0 steps flagged

No significant circularity in the high-level framework

full rationale

The paper is a framework and review contribution rather than a theorem, derivation, or quantitative study. It presents a high-level organizational structure connecting LAE scenarios, a requirement-resource matrix, collaborative architecture, and methodological toolboxes, along with reviews of enabling technologies and use cases. The central claim—that communication-centric designs alone cannot meet LAE safety and compliance constraints, making air-ground SCCSI orchestration indispensable—is a motivating perspective stated in the abstract and architecture sections, without any equations, fitted parameters, predictions, or self-referential reductions that could be circular by construction. No load-bearing steps reduce to inputs via self-definition, self-citation chains, or ansatz smuggling, rendering the analysis self-contained.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The framework rests on the domain assumption that communication-centric designs cannot meet LAE safety constraints, with no free parameters, new entities, or additional axioms introduced in the abstract.

axioms (1)
  • domain assumption Air-ground collaboration is indispensable because communication-centric designs alone cannot address stringent safety and compliance constraints in LAE missions.
    Invoked in the abstract to justify the need for multi-resource SCCSI orchestration.

pith-pipeline@v0.9.0 · 5780 in / 1197 out tokens · 47556 ms · 2026-05-20T08:18:40.597479+00:00 · methodology

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Reference graph

Works this paper leans on

109 extracted references · 109 canonical work pages · 2 internal anchors

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